Stock and recruitment: generalizations about maximum reproductive rate, density dependence, and variability using meta-analytic approaches

By R. Myers. 2001

314 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/b3dc89afad2ee696c9bff4d3c55d7a1398d08c61

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. Adrian R. Hordyk
2. J. Prince
3. N. Dulvy
4. N. Loneragan
5. S. Jennings
6. K. Ono
7. E. Cortés
8. J. Reynolds

In Nature and Landscape Conservation

1. Adrian R. Hordyk
2. J. Prince
3. N. Dulvy
4. E. Cortés
5. N. Loneragan
6. K. Ono
7. S. Jennings
8. J. Reynolds

Citations in the corpus

• Stock assessment in inland fisheries: a foundation for sustainable use and conservation (2016, background): “to many useful generalisations about fish life history parameters such as natural mortality rates (Pauly 1980; Hoenig 1983), the level of recruitment compensation or ‘‘steepness’’ of the stock recruitment relationship (Myers 2001) and life history strategies that affect population variability (Winem”
• Methods of assessing extinction risk in marine fishes. (2004, methodology): “Consequently, S–R relationships can have considerable variances, and the parameter estimates are subject to a high degree of uncertainty (Walters and Ludwig 1981; Myers 2001).”
• MARINE RESERVES EXPLOIT POPULATION STRUCTURE AND LIFE HISTORY IN POTENTIALLY IMPROVING FISHERIES YIELDS (2005, background): “…adjustment accounts for the potential importance of both within- and amongcohort interactions in driving density dependence (Myers and Cadigan 1993, Myers 2001), while the R adjustment (where the doubling in population growth rate is quantitatively arbitrary and is generalized below) mimics the…”
• Overcompensatory response of a smallmouth bass (Micropterus dolomieu) population to harvest: release from competition? (2008, methodology): “We reviewed previous studies that synthesized the spawner–recruit relationship across many species (Myers et al. 1999; Myers 2001; MacKenzie et al. 2003) to determine a potential range for the parameter a, the maximum number of recruits per spawner at low population densities.”
• Managing mobile species with MPAs: the effects of mobility, larval dispersal, and fishing mortality on closure size (2009, background): “In contrast, the real environment is highly variable, and variability and uncertainty can be introduced to the system through annual recruitment (Myers, 2001; Patterson et al., 2001; Needle, 2002).”
• Examining the knowledge base and status of commercially exploited marine species with the RAM Legacy Stock Assessment Database (2012, background): “…generalities in the annual reproductive rates of fishes (Myers et al. 1999, 2002b), (iv) investigate density dependence in juvenile mortality (Myers 2001; Minto et al. 2008), (v) develop informative Bayesian priors on steepness (Myers et al. 1999, 2002a; Dorn 2002) and (vi) examine patterns…”
• Analytical reference points for age-structured models: application to data-poor fisheries (2010, methodology): “using metadata from Myers and Mertz (1998), in combination with the life-history categories delineated in Winemiller and Rose (1992).”
• A novel length-based empirical estimation method of spawning potential ratio (SPR), and tests of its performance, for small-scale, data-poor fisheries (2015, background): “The second assumption of constant recruitment, however, is unlikely to hold for many stocks (Myers, 2001).”
• Genetic impact of gadoid culture on wild fish populations: predictions, lessons from salmonids, and possibilities for minimizing adverse effects (2006, background): “Little is known about the limiting factors in individual life stages of gadoids (Myers, 2001), and the relative effects of”
• Emerging from Hjort's Shadow (2008, background): “The change in perception in the 1980s and 1990s was strongly influenced by meta-analyses of S-R relationships (Myers and Barrowman, 1996; Myers, 2001) that demonstrated the importance of adult numbers, biomass and fecundity, and the propensity for low”
• An evaluation of an iterative harvest strategy for data-poor fisheries using the length-based spawning potential ratio assessment methodology (2015, background): “Furthermore, the calculation of biomass-based reference points requires detailed information on the biology of the species, including knowledge of the underlying stock–recruitment relationship, which can be difficult to estimate (Hilborn and Walters, 1992; Myers, 2001).”
• The year-class phenomenon and the storage effect in marine fishes (2007, unknown): “Graphic and analyses from Secor (200 A large recruitment database of over 200 stocks of marine fishes (Myers, 2001) supported a recent analysis between recruitment variability and longevity (Longhurst, 2002).”
• Alternatives to statistical hypothesis testing in ecology: a guide to self teaching. (2006, background): “…learned by anyone familiar with likelihood (Gelman et al. 1995), and have recently been extensively used in fisheries (Hilborn and Liermann 1998, Myers 2001, Myers et al. 2001, 2002, Dorn 2002) and ecology (Bender et al. 1998, Connor et al. 2000, Schmitz et al. 2000, Chalfoun et al. 2002,…”